AlexNet

AlexNet is a convolutional neural network architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton for large-scale image classification. Its 2012 ImageNet result helped establish deep learning's use of deep neural networks, ReLU activations, dropout, and GPU-based training for computer vision.